"PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical ..."

Sihan Mao et al. (2023)

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DOI: 10.1007/978-981-99-8070-3_29

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-24

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Sihan Mao, Xiaolin Zheng, Jianguang Zhang, Xiaodong Hu:
PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical Logistic Regression. ICONIP (4) 2023: 380-392

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